PRACTICE GUIDELINE SERIES PRACTICE GUIDELINE SERIES Canadian recommendations
Bibliographic record
Abstract
Recommendation 1 Management of patients with glioblastoma multiforme (GBM) should be highly individualized and should take a multidisciplinary approach involving neuro-oncology, neurosurgery, radiation oncology, and pathology, to optimize treatment outcomes. Patients and caregivers should be kept informed of the progress of treatment at every stage. Recommendation 2 Sufficient tissue should be obtained during surgery for cytogenetic analysis and, whenever feasible, for tumour banking. Recommendation 3 Surgery is an integral part of the treatment plan, to establish a histopathologic diagnosis and to achieve safe, maximal, and feasible tumour resection, which may improve clinical signs and symptoms. Recommendation 4 The preoperative imaging modality of choice is magnetic resonance imaging (MRI) with gadolinium as the contrast agent. Other imaging modalities, such as positron emission tomography with [ 18F]-fluoro deoxy-D-glucose, may also be considered in selected cases. Postoperative imaging (MRI or computed tomography) is recommended within 72 hours of surgery to evaluate the extent of resection. Recommendation 5 Postoperative external-beam radiotherapy is recommended as standard therapy for patients with GBM. The recommended dose is 60 Gy in 2-Gy fractions. The recommended clinical target volume should be identified with gadolinium-enhanced T1-weighted MRI, with a margin in the order of 2–3 cm. Target volumes should be determined based on a postsurgical planning MRI. A shorter course of radiation may be considered for older patients with poor performance status. Recommendation 6 During RT, temozolomide 75 mg/m2 should be administered concurrently for the full duration of radiotherapy, typically 42 days. Temozolomide should be given approximately 1 hour before radiation therapy, and at the same time on the days that no radiotherapy is scheduled.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.077 | 0.041 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".